You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Symbolic-Numeric Integration of the Dynamical Cosserat Equations
|
---|---|
Chapter number | 22 |
Book title |
Computer Algebra in Scientific Computing
|
Published in |
arXiv, September 2017
|
DOI | 10.1007/978-3-319-66320-3_22 |
Book ISBNs |
978-3-31-966319-7, 978-3-31-966320-3
|
Authors |
Dmitry Lyakhov, Vladimir Gerdt, Andreas Weber, Dominik Michels, Dmitry A. Lyakhov, Vladimir P. Gerdt, Andreas G. Weber, Dominik L. Michels |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 27% |
Professor > Associate Professor | 3 | 27% |
Researcher | 2 | 18% |
Unknown | 3 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 27% |
Computer Science | 2 | 18% |
Mathematics | 1 | 9% |
Arts and Humanities | 1 | 9% |
Nursing and Health Professions | 1 | 9% |
Other | 0 | 0% |
Unknown | 3 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 November 2018.
All research outputs
#18,575,287
of 23,852,579 outputs
Outputs from arXiv
#459,025
of 990,619 outputs
Outputs of similar age
#231,081
of 320,109 outputs
Outputs of similar age from arXiv
#12,414
of 20,419 outputs
Altmetric has tracked 23,852,579 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 990,619 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 320,109 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20,419 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.